IEEE 802.11ah Network Planning for IoT Smart Meter Application: Case Study in Bandung Area

The growth of Wireless Fidelity (WiFi) technology is so rapid and popular. The technology most widely used for WiFi services is the IEEE 802.11 family of standards. To support the Internet of Things (IoT) era, 802.11ah standard technology has developed, and the standard is intended to provide a low-cost mode of operation, with a wider coverage area, and can support thousands of devices per cell. This paper discusses IEEE 802.11ah Standard Network Planning for the Internet of Things Application (Case Study: Smart Meter Using WiFi.id Network in Bandung), to improve network quality in terms of coverage and capacity to improve the efficiency of the WiFi network and so that it can supports the Internet of Things (IoT) service. Network planning using 802.11ah for the internet of things application with a smart meter case study using the WiFi.id network has been successfully carried out. To cover the entire area of Bandung, 23 sites are required. In the capacity, the Tx slots needed to cover possible smart meters for each site are only 9 tx slots out of a total of 100 tx slots

Rancang Bangun dan Kinerja Mesin Pengupas Sabut Kelapa Muda

Mesin pengupas sabut kelapa muda berfungsi untuk mempermudah dalam mengupas kelapa muda karena cukup efektif dibanding cara manual. Penelitian ini bertujuan untuk merancang dan uji kinerja mesin pengupas sabut kelapa muda. Hasil pengujian menunjukan kapasitas pengupasan mesin adalah 120 buah/jam. Analisa ekonomi mesin pengupas sabut kelapa muda didapat biaya tetap Rp 1.793.220 /tahun, biaya tidak tetap Rp 16.943/jam, biaya pokok Rp. 147/buah dan break event point (BEP) sebanyak 4.995 buah/tahun

The global prevalence and association between the risk of myocarditis and mRNA-based COVID-19 vaccination: A network meta-analysis version 1; peer review: awaiting peer review

Background: Cases of myocarditis development have been reported after administration of messenger ribonucleic acid (mRNA)-based coronavirus disease (COVID-19) vaccines. However, the reports vary among the studies, and the types of mRNA vaccines with potential to cause myocarditis remain unidentified. The objective was to assess the cumulative prevalence of myocarditis and determine the association between myocarditis and mRNA-based COVID-19 vaccination. Methods: We performed a network meta-analysis by searching articles in PubMed, Scopus, and Web of Science. Information on the prevalence of myocarditis after the mRNA-based COVID-19 vaccination was collected from each study. Analysis was performed by calculating the pooled prevalence rate, and the association was determined using the Z-test. Data networking was performed using the Bayesian method. Results: A total of 18 papers was included in our analysis. We found that the cumulative prevalence of myocarditis was 1.7, 1.9, 1.2, and 1.1 per 100,000 population after vaccination with different types of mRNA-based COVID-19 vaccines, namely all mRNA COVID-19 vaccines, BNT162b1, mRNA-1273, and the combination of BNT162b1 and mRNA-1273, respectively. Moreover, the results revealed that BNT162b1 vaccination increased the risk of myocarditis by 1.64- and 1.71-folds compared to mRNA-1273 and the combination of BNT162b2 and mRNA-1273, respectively. Similar risks of developing myocarditis were observed after mRNA-1273 and the combination of BNT162b1 and mRNA-1273 vaccination. Conclusions: Our findings suggest the cumulative prevalence of myocarditis after mRNA-based COVID-19 vaccination with maximum prevalence was observed after BNT162b2 administration. BNT162b2 was associated with a higher risk of developing myocarditis than the other mRNA-based COVID-19 vaccines